Abstract
In this chapter, we discuss the employment of methods from optimal control for problems in computer vision and image processing. The underlying principle will be that of dynamic programming and the associated Hamilton-Jacobi equation which allows a unified approach to tackle a number of different issues in vision. In particular, we will consider problems concerning shape theory, morphology, optical flow, nonlinear scale-spaces, and shape-from-shading. We will also discuss some numerical issues concerned with computer implementations of this methodology.
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© 1994 Springer Science+Business Media Dordrecht
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Kimia, B., Tannenbaum, A., Zucker, S. (1994). On Optimal Control Methods in Computer Vision and Image Processing. In: ter Haar Romeny, B.M. (eds) Geometry-Driven Diffusion in Computer Vision. Computational Imaging and Vision, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1699-4_12
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DOI: https://doi.org/10.1007/978-94-017-1699-4_12
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4461-7
Online ISBN: 978-94-017-1699-4
eBook Packages: Springer Book Archive